{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/edwardgoldring/Dropbox/Country peacekeeper effectiveness/Help is Close at Hand/help_is_close.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}19 Aug 2018, 15:13:34
{txt}
{com}. 
. 
. *************
. *** Figure 1
. *************
. gen eventdate = ym(year, mon)
{txt}
{com}. format eventdate %tm
{txt}
{com}. label var osvAll "Civilian deaths"
{txt}
{com}. twoway (line contig_pk_percent eventdate if mission == "MONUA", c(1) yaxis(1)) (scatter osvAll eventdate if mission == "MONUA", yaxis(2)), scheme(plotplain) legend(position(6) cols(2) label(1 "% of peacekeepers from contiguous countries") label(2 "Civilian deaths")) xtitle("")
{p 0 4 2}
{txt}(note:  named style
1 not found in class
connectstyle,  default attributes used)
{p_end}
{res}{txt}
{com}. graph export monua.pdf, replace
{txt}(file /Users/edwardgoldring/Dropbox/Country peacekeeper effectiveness/Help is Close at Hand/monua.pdf written in PDF format)

{com}. 
. 
. ************
. *** Table 1
. ************
. xtset conflict_id time
{res}{txt}{col 8}panel variable:  {res}conflict_id (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}time, 199101 to 200812, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. * Model 1
. xtnbreg osvAll troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop FracTroop PolTroop Nparticipant, fe i(conflict_id) 
{txt}note: 5 groups (171 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6156.0859}  
Iteration 1:{space 3}log likelihood = {res:-4050.1472}  
Iteration 2:{space 3}log likelihood = {res:-1490.4074}  
Iteration 3:{space 3}log likelihood = {res:-1334.7928}  
Iteration 4:{space 3}log likelihood = {res:-1306.3783}  
Iteration 5:{space 3}log likelihood = {res:-1306.0795}  
Iteration 6:{space 3}log likelihood = {res:-1306.0793}  
Iteration 7:{space 3}log likelihood = {res:-1306.0793}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 68}={col 70}{res}      577
{txt}Group variable: {res}conflict_id{col 49}{txt}Number of groups{col 68}={col 70}{res}       11

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}       11
{txt}{col 64}avg{col 68}={col 70}{res}     52.5
{txt}{col 64}max{col 68}={col 70}{res}       86

{txt}{col 49}Wald chi2({res}11{txt}){col 68}={col 70}{res}   179.20
{txt}Log likelihood  = {res}-1306.0793{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              osvAll{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}troopLag {c |}{col 22}{res}{space 2}-.1200876{col 34}{space 2} .0423638{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-.2031192{col 75}{space 3} -.037056
{txt}{space 11}policeLag {c |}{col 22}{res}{space 2} .2928004{col 34}{space 2} .5208617{col 45}{space 1}    0.56{col 54}{space 3}0.574{col 62}{space 4}-.7280697{col 75}{space 3} 1.313671
{txt}militaryobserversLag {c |}{col 22}{res}{space 2} 1.908994{col 34}{space 2} .7094416{col 45}{space 1}    2.69{col 54}{space 3}0.007{col 62}{space 4} .5185141{col 75}{space 3} 3.299474
{txt}{space 10}brv_AllLag {c |}{col 22}{res}{space 2} .0030001{col 34}{space 2} .0012512{col 45}{space 1}    2.40{col 54}{space 3}0.016{col 62}{space 4} .0005478{col 75}{space 3} .0054524
{txt}{space 8}osvAllLagDum {c |}{col 22}{res}{space 2}  1.19145{col 34}{space 2}   .15644{col 45}{space 1}    7.62{col 54}{space 3}0.000{col 62}{space 4} .8848331{col 75}{space 3} 1.498067
{txt}{space 14}incomp {c |}{col 22}{res}{space 2}   .71777{col 34}{space 2} .3373316{col 45}{space 1}    2.13{col 54}{space 3}0.033{col 62}{space 4} .0566123{col 75}{space 3} 1.378928
{txt}{space 10}epduration {c |}{col 22}{res}{space 2} .0046321{col 34}{space 2} .0017577{col 45}{space 1}    2.64{col 54}{space 3}0.008{col 62}{space 4} .0011871{col 75}{space 3} .0080771
{txt}{space 14}lntpop {c |}{col 22}{res}{space 2} .7201554{col 34}{space 2} .1321132{col 45}{space 1}    5.45{col 54}{space 3}0.000{col 62}{space 4} .4612184{col 75}{space 3} .9790924
{txt}{space 11}FracTroop {c |}{col 22}{res}{space 2} .0319619{col 34}{space 2} .5535001{col 45}{space 1}    0.06{col 54}{space 3}0.954{col 62}{space 4}-1.052878{col 75}{space 3} 1.116802
{txt}{space 12}PolTroop {c |}{col 22}{res}{space 2}-.9361854{col 34}{space 2} .5284994{col 45}{space 1}   -1.77{col 54}{space 3}0.076{col 62}{space 4}-1.972025{col 75}{space 3} .0996544
{txt}{space 8}Nparticipant {c |}{col 22}{res}{space 2}-.0152349{col 34}{space 2} .0118486{col 45}{space 1}   -1.29{col 54}{space 3}0.199{col 62}{space 4}-.0384577{col 75}{space 3} .0079878
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-11.10903{col 34}{space 2} 1.628259{col 45}{space 1}   -6.82{col 54}{space 3}0.000{col 62}{space 4}-14.30036{col 75}{space 3}-7.917702
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 2
. nbreg osvAll troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop FracTroop PolTroop Nparticipant, cluster(conflict_id) 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1497532.5}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1198483.2}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-720477.28}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-635836.95}  
Iteration 4:{space 3}log pseudolikelihood = {res:-424502.37}  
Iteration 5:{space 3}log pseudolikelihood = {res:-249536.17}  
Iteration 6:{space 3}log pseudolikelihood = {res: -233725.8}  
Iteration 7:{space 3}log pseudolikelihood = {res:-233552.11}  
Iteration 8:{space 3}log pseudolikelihood = {res:-233551.92}  
Iteration 9:{space 3}log pseudolikelihood = {res:-233551.92}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4808.9043}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1684.4315}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1683.5765}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1683.5751}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1683.5751}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1683.5751}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1655.191}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1613.2172}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1597.1333}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1570.3144}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1553.1303}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1548.9463}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1548.8046}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1548.8038}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1548.8038}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       748
{txt}{col 51}Wald chi2({res}11{txt}){col 67}= {res}    648.56
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1548.8038{txt}{col 51}Pseudo R2{col 67}= {res}    0.0801

{txt}{ralign 86:(Std. Err. adjusted for {res:16} clusters in conflict_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}              osvAll{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}troopLag {c |}{col 22}{res}{space 2}-.4329526{col 34}{space 2} .1441281{col 45}{space 1}   -3.00{col 54}{space 3}0.003{col 62}{space 4}-.7154384{col 75}{space 3}-.1504668
{txt}{space 11}policeLag {c |}{col 22}{res}{space 2}-8.926787{col 34}{space 2} 6.133148{col 45}{space 1}   -1.46{col 54}{space 3}0.146{col 62}{space 4}-20.94754{col 75}{space 3} 3.093961
{txt}militaryobserversLag {c |}{col 22}{res}{space 2} 20.79148{col 34}{space 2} 4.541961{col 45}{space 1}    4.58{col 54}{space 3}0.000{col 62}{space 4}  11.8894{col 75}{space 3} 29.69356
{txt}{space 10}brv_AllLag {c |}{col 22}{res}{space 2} .0048598{col 34}{space 2}   .00141{col 45}{space 1}    3.45{col 54}{space 3}0.001{col 62}{space 4} .0020963{col 75}{space 3} .0076233
{txt}{space 8}osvAllLagDum {c |}{col 22}{res}{space 2}-.1132562{col 34}{space 2} .5486618{col 45}{space 1}   -0.21{col 54}{space 3}0.836{col 62}{space 4}-1.188614{col 75}{space 3}  .962101
{txt}{space 14}incomp {c |}{col 22}{res}{space 2} 2.256884{col 34}{space 2} 5.073267{col 45}{space 1}    0.44{col 54}{space 3}0.656{col 62}{space 4}-7.686536{col 75}{space 3}  12.2003
{txt}{space 10}epduration {c |}{col 22}{res}{space 2} -.000251{col 34}{space 2} .0125448{col 45}{space 1}   -0.02{col 54}{space 3}0.984{col 62}{space 4}-.0248383{col 75}{space 3} .0243363
{txt}{space 14}lntpop {c |}{col 22}{res}{space 2} 1.364921{col 34}{space 2}  1.55017{col 45}{space 1}    0.88{col 54}{space 3}0.379{col 62}{space 4}-1.673357{col 75}{space 3} 4.403199
{txt}{space 11}FracTroop {c |}{col 22}{res}{space 2}-1.556326{col 34}{space 2} 3.229424{col 45}{space 1}   -0.48{col 54}{space 3}0.630{col 62}{space 4}-7.885881{col 75}{space 3}  4.77323
{txt}{space 12}PolTroop {c |}{col 22}{res}{space 2} 3.202095{col 34}{space 2} 1.895484{col 45}{space 1}    1.69{col 54}{space 3}0.091{col 62}{space 4}-.5129846{col 75}{space 3} 6.917174
{txt}{space 8}Nparticipant {c |}{col 22}{res}{space 2}-.0730461{col 34}{space 2} .1690186{col 45}{space 1}   -0.43{col 54}{space 3}0.666{col 62}{space 4}-.4043165{col 75}{space 3} .2582243
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-14.89516{col 34}{space 2}  22.6226{col 45}{space 1}   -0.66{col 54}{space 3}0.510{col 62}{space 4}-59.23465{col 75}{space 3} 29.44433
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            /lnalpha {c |}{col 22}{res}{space 2} 2.509664{col 34}{space 2} .2272988{col 62}{space 4} 2.064166{col 75}{space 3} 2.955161
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               alpha{col 22}{c |}{res}{space 2} 12.30079{col 34}{space 2} 2.795955{col 62}{space 4} 7.878725{col 75}{space 3} 19.20481
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 3
. nbreg osvAll lag_contig_pk_percent troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors, robust
{txt}note: incomp omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-921956.04}  
Iteration 1:{space 3}log pseudolikelihood = {res: -583031.8}  
Iteration 2:{space 3}log pseudolikelihood = {res:-462346.92}  
Iteration 3:{space 3}log pseudolikelihood = {res:-402054.86}  
Iteration 4:{space 3}log pseudolikelihood = {res:-393425.88}  
Iteration 5:{space 3}log pseudolikelihood = {res:-391504.14}  
Iteration 6:{space 3}log pseudolikelihood = {res:-391313.34}  
Iteration 7:{space 3}log pseudolikelihood = {res:-391313.02}  
Iteration 8:{space 3}log pseudolikelihood = {res:-391313.02}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3529.6893}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1319.4024}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1318.5448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1318.5428}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1318.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1318.5428}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1303.0795}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1290.3726}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1275.1302}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1261.7414}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-1244.2648}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1224.4077}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1217.2277}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1217.0095}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1217.0086}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1217.0086}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       520
{txt}{col 51}Wald chi2({res}9{txt}){col 67}= {res}     91.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1217.0086{txt}{col 51}Pseudo R2{col 67}= {res}    0.0770

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.1417163{col 35}{space 2} .0433475{col 46}{space 1}   -3.27{col 55}{space 3}0.001{col 63}{space 4}-.2266758{col 76}{space 3}-.0567568
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.4752023{col 35}{space 2} .0828364{col 46}{space 1}   -5.74{col 55}{space 3}0.000{col 63}{space 4}-.6375587{col 76}{space 3} -.312846
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2}-4.187293{col 35}{space 2} 1.162731{col 46}{space 1}   -3.60{col 55}{space 3}0.000{col 63}{space 4}-6.466204{col 76}{space 3}-1.908382
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 16.95746{col 35}{space 2} 2.383334{col 46}{space 1}    7.12{col 55}{space 3}0.000{col 63}{space 4} 12.28621{col 76}{space 3}  21.6287
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0053168{col 35}{space 2} .0018492{col 46}{space 1}    2.88{col 55}{space 3}0.004{col 63}{space 4} .0016923{col 76}{space 3} .0089412
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .8056143{col 35}{space 2} .5444085{col 46}{space 1}    1.48{col 55}{space 3}0.139{col 63}{space 4}-.2614068{col 76}{space 3} 1.872635
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2} -.004707{col 35}{space 2} .0054285{col 46}{space 1}   -0.87{col 55}{space 3}0.386{col 63}{space 4}-.0153467{col 76}{space 3} .0059328
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-1.096405{col 35}{space 2} .5614941{col 46}{space 1}   -1.95{col 55}{space 3}0.051{col 63}{space 4}-2.196914{col 76}{space 3} .0041029
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .2169467{col 35}{space 2} .1195314{col 46}{space 1}    1.81{col 55}{space 3}0.070{col 63}{space 4}-.0173305{col 76}{space 3}  .451224
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 11.51339{col 35}{space 2} 4.812246{col 46}{space 1}    2.39{col 55}{space 3}0.017{col 63}{space 4} 2.081558{col 76}{space 3} 20.94522
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /lnalpha {c |}{col 23}{res}{space 2}  2.44513{col 35}{space 2} .1063705{col 63}{space 4} 2.236647{col 76}{space 3} 2.653612
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                alpha{col 23}{c |}{res}{space 2} 11.53204{col 35}{space 2}  1.22667{col 63}{space 4}  9.36189{col 76}{space 3} 14.20526
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 4
. nbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors, robust
{txt}note: incomp omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-706662.33}  
Iteration 1:{space 3}log pseudolikelihood = {res:-666958.15}  
Iteration 2:{space 3}log pseudolikelihood = {res:-412411.42}  
Iteration 3:{space 3}log pseudolikelihood = {res:-389450.46}  
Iteration 4:{space 3}log pseudolikelihood = {res:-385086.41}  
Iteration 5:{space 3}log pseudolikelihood = {res:-384246.88}  
Iteration 6:{space 3}log pseudolikelihood = {res:-384098.15}  
Iteration 7:{space 3}log pseudolikelihood = {res:-384073.59}  
Iteration 8:{space 3}log pseudolikelihood = {res:-384071.77}  
Iteration 9:{space 3}log pseudolikelihood = {res:-384071.75}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3529.6893}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1319.4024}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1318.5448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1318.5428}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1318.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1318.5428}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1302.5526}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1286.3369}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1275.8896}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1241.1476}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1233.3649}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1217.3036}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1213.6087}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1213.0949}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1212.8377}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1212.8365}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1212.8365}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       520
{txt}{col 51}Wald chi2({res}11{txt}){col 67}= {res}    110.85
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1212.8365{txt}{col 51}Pseudo R2{col 67}= {res}    0.0802

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.2078655{col 35}{space 2} .0744084{col 46}{space 1}   -2.79{col 55}{space 3}0.005{col 63}{space 4}-.3537032{col 76}{space 3}-.0620278
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2} .2848227{col 35}{space 2} .1300584{col 46}{space 1}    2.19{col 55}{space 3}0.029{col 63}{space 4} .0299129{col 76}{space 3} .5397326
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2}-.0157029{col 35}{space 2} .0062804{col 46}{space 1}   -2.50{col 55}{space 3}0.012{col 63}{space 4}-.0280123{col 76}{space 3}-.0033936
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.6931415{col 35}{space 2} .1849791{col 46}{space 1}   -3.75{col 55}{space 3}0.000{col 63}{space 4}-1.055694{col 76}{space 3}-.3305892
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2}-1.753329{col 35}{space 2} 1.635017{col 46}{space 1}   -1.07{col 55}{space 3}0.284{col 63}{space 4}-4.957903{col 76}{space 3} 1.451245
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 18.37726{col 35}{space 2} 2.987917{col 46}{space 1}    6.15{col 55}{space 3}0.000{col 63}{space 4} 12.52105{col 76}{space 3} 24.23347
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0051841{col 35}{space 2} .0018535{col 46}{space 1}    2.80{col 55}{space 3}0.005{col 63}{space 4} .0015513{col 76}{space 3}  .008817
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .7440024{col 35}{space 2} .5472235{col 46}{space 1}    1.36{col 55}{space 3}0.174{col 63}{space 4}-.3285359{col 76}{space 3} 1.816541
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2}-.0037781{col 35}{space 2} .0053913{col 46}{space 1}   -0.70{col 55}{space 3}0.483{col 63}{space 4}-.0143448{col 76}{space 3} .0067887
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-1.245588{col 35}{space 2} .5455119{col 46}{space 1}   -2.28{col 55}{space 3}0.022{col 63}{space 4}-2.314772{col 76}{space 3} -.176404
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .3020057{col 35}{space 2} .1180838{col 46}{space 1}    2.56{col 55}{space 3}0.011{col 63}{space 4} .0705658{col 76}{space 3} .5334457
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 12.41302{col 35}{space 2} 4.659943{col 46}{space 1}    2.66{col 55}{space 3}0.008{col 63}{space 4} 3.279697{col 76}{space 3} 21.54634
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /lnalpha {c |}{col 23}{res}{space 2} 2.424599{col 35}{space 2} .1036657{col 63}{space 4} 2.221418{col 76}{space 3}  2.62778
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                alpha{col 23}{c |}{res}{space 2}  11.2977{col 35}{space 2} 1.171183{col 63}{space 4} 9.220394{col 76}{space 3}   13.843
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 5
. nbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors FracTroop PolTroop Nparticipant, robust
{txt}note: incomp omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-697646.86}  
Iteration 1:{space 3}log pseudolikelihood = {res: -483895.1}  
Iteration 2:{space 3}log pseudolikelihood = {res:-223780.35}  
Iteration 3:{space 3}log pseudolikelihood = {res:-139181.79}  
Iteration 4:{space 3}log pseudolikelihood = {res:-107370.77}  
Iteration 5:{space 3}log pseudolikelihood = {res:-105326.84}  
Iteration 6:{space 3}log pseudolikelihood = {res:-104289.49}  
Iteration 7:{space 3}log pseudolikelihood = {res:-104139.96}  
Iteration 8:{space 3}log pseudolikelihood = {res:-104121.21}  
Iteration 9:{space 3}log pseudolikelihood = {res:-104120.03}  
Iteration 10:{space 2}log pseudolikelihood = {res:-104120.02}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3145.226}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1165.9912}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1165.5439}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1165.5433}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1165.5433}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1165.5433}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1147.0352}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1125.6881}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1110.3253}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1101.2155}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1073.8635}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1059.8038}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1058.5302}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1058.5136}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1058.5136}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       455
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}    283.41
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1058.5136{txt}{col 51}Pseudo R2{col 67}= {res}    0.0918

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.2046482{col 35}{space 2} .0684871{col 46}{space 1}   -2.99{col 55}{space 3}0.003{col 63}{space 4}-.3388804{col 76}{space 3}-.0704159
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2} .1491893{col 35}{space 2} .0716875{col 46}{space 1}    2.08{col 55}{space 3}0.037{col 63}{space 4} .0086843{col 76}{space 3} .2896943
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2}-.0094391{col 35}{space 2} .0042155{col 46}{space 1}   -2.24{col 55}{space 3}0.025{col 63}{space 4}-.0177013{col 76}{space 3}-.0011769
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.5280716{col 35}{space 2} .0825199{col 46}{space 1}   -6.40{col 55}{space 3}0.000{col 63}{space 4}-.6898077{col 76}{space 3}-.3663354
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2}-2.623902{col 35}{space 2} 1.020644{col 46}{space 1}   -2.57{col 55}{space 3}0.010{col 63}{space 4}-4.624328{col 76}{space 3}-.6234756
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 17.10379{col 35}{space 2} 2.755203{col 46}{space 1}    6.21{col 55}{space 3}0.000{col 63}{space 4} 11.70369{col 76}{space 3} 22.50389
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0050529{col 35}{space 2} .0014698{col 46}{space 1}    3.44{col 55}{space 3}0.001{col 63}{space 4} .0021721{col 76}{space 3} .0079337
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2}-.0861672{col 35}{space 2} .4818098{col 46}{space 1}   -0.18{col 55}{space 3}0.858{col 63}{space 4}-1.030497{col 76}{space 3} .8581627
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2} .0057352{col 35}{space 2} .0054878{col 46}{space 1}    1.05{col 55}{space 3}0.296{col 63}{space 4}-.0050207{col 76}{space 3} .0164911
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-.9235559{col 35}{space 2} .6065372{col 46}{space 1}   -1.52{col 55}{space 3}0.128{col 63}{space 4}-2.112347{col 76}{space 3}  .265235
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .5151493{col 35}{space 2} .1653995{col 46}{space 1}    3.11{col 55}{space 3}0.002{col 63}{space 4} .1909722{col 76}{space 3} .8393264
{txt}{space 12}FracTroop {c |}{col 23}{res}{space 2}-.9357617{col 35}{space 2} 1.319609{col 46}{space 1}   -0.71{col 55}{space 3}0.478{col 63}{space 4}-3.522148{col 76}{space 3} 1.650624
{txt}{space 13}PolTroop {c |}{col 23}{res}{space 2} 4.185019{col 35}{space 2}  1.57888{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4}  1.09047{col 76}{space 3} 7.279567
{txt}{space 9}Nparticipant {c |}{col 23}{res}{space 2}-.1300219{col 35}{space 2} .0504438{col 46}{space 1}   -2.58{col 55}{space 3}0.010{col 63}{space 4}-.2288899{col 76}{space 3} -.031154
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 8.014584{col 35}{space 2} 5.390602{col 46}{space 1}    1.49{col 55}{space 3}0.137{col 63}{space 4}-2.550801{col 76}{space 3} 18.57997
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /lnalpha {c |}{col 23}{res}{space 2} 2.325893{col 35}{space 2} .1078226{col 63}{space 4} 2.114564{col 76}{space 3} 2.537221
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                alpha{col 23}{c |}{res}{space 2} 10.23581{col 35}{space 2} 1.103652{col 63}{space 4} 8.285975{col 76}{space 3} 12.64448
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *************
. *** Figure 2
. *************
. set seed 1234567
{txt}
{com}. estsimp nbreg osvAll lag_contig_pk_percent troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum epduration lntpop num_neighbors, robust

{txt}Fitting Poisson model:

Iteration 0:{col 16}log pseudolikelihood = {res}-921956.04{txt}  
Iteration 1:{col 16}log pseudolikelihood = {res} -583031.8{txt}  
Iteration 2:{col 16}log pseudolikelihood = {res}-462346.92{txt}  
Iteration 3:{col 16}log pseudolikelihood = {res}-402054.86{txt}  
Iteration 4:{col 16}log pseudolikelihood = {res}-393425.88{txt}  
Iteration 5:{col 16}log pseudolikelihood = {res}-391504.14{txt}  
Iteration 6:{col 16}log pseudolikelihood = {res}-391313.34{txt}  
Iteration 7:{col 16}log pseudolikelihood = {res}-391313.02{txt}  
Iteration 8:{col 16}log pseudolikelihood = {res}-391313.02{txt}  
{res}
{txt}Fitting constant-only model:

Iteration 0:{col 16}log pseudolikelihood = {res}-3529.6893{txt}  
Iteration 1:{col 16}log pseudolikelihood = {res}-1319.4024{txt}  
Iteration 2:{col 16}log pseudolikelihood = {res}-1318.5448{txt}  
Iteration 3:{col 16}log pseudolikelihood = {res}-1318.5428{txt}  
Iteration 4:{col 16}log pseudolikelihood = {res}-1318.5428{txt}  
{res}
{txt}Fitting full model:

Iteration 0:{col 16}log pseudolikelihood = {res}-1318.5428{txt}  (not concave)
Iteration 1:{col 16}log pseudolikelihood = {res}-1303.0795{txt}  (not concave)
Iteration 2:{col 16}log pseudolikelihood = {res}-1290.3726{txt}  (not concave)
Iteration 3:{col 16}log pseudolikelihood = {res}-1275.1302{txt}  (not concave)
Iteration 4:{col 16}log pseudolikelihood = {res}-1261.7414{txt}  (not concave)
Iteration 5:{col 16}log pseudolikelihood = {res}-1244.2648{txt}  
Iteration 6:{col 16}log pseudolikelihood = {res}-1224.4077{txt}  
Iteration 7:{col 16}log pseudolikelihood = {res}-1217.2277{txt}  
Iteration 8:{col 16}log pseudolikelihood = {res}-1217.0095{txt}  
Iteration 9:{col 16}log pseudolikelihood = {res}-1217.0086{txt}  
Iteration 10:{col 16}log pseudolikelihood = {res}-1217.0086{txt}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       520
{txt}{col 51}Wald chi2({res}9{txt}){col 67}= {res}     91.73
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1217.0086{txt}{col 51}Pseudo R2{col 67}= {res}    0.0770

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.1417163{col 35}{space 2} .0433475{col 46}{space 1}   -3.27{col 55}{space 3}0.001{col 63}{space 4}-.2266758{col 76}{space 3}-.0567568
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.4752023{col 35}{space 2} .0828364{col 46}{space 1}   -5.74{col 55}{space 3}0.000{col 63}{space 4}-.6375587{col 76}{space 3} -.312846
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2}-4.187293{col 35}{space 2} 1.162731{col 46}{space 1}   -3.60{col 55}{space 3}0.000{col 63}{space 4}-6.466204{col 76}{space 3}-1.908382
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 16.95746{col 35}{space 2} 2.383334{col 46}{space 1}    7.12{col 55}{space 3}0.000{col 63}{space 4} 12.28621{col 76}{space 3}  21.6287
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0053168{col 35}{space 2} .0018492{col 46}{space 1}    2.88{col 55}{space 3}0.004{col 63}{space 4} .0016923{col 76}{space 3} .0089412
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .8056143{col 35}{space 2} .5444085{col 46}{space 1}    1.48{col 55}{space 3}0.139{col 63}{space 4}-.2614068{col 76}{space 3} 1.872635
{txt}{space 11}epduration {c |}{col 23}{res}{space 2} -.004707{col 35}{space 2} .0054285{col 46}{space 1}   -0.87{col 55}{space 3}0.386{col 63}{space 4}-.0153467{col 76}{space 3} .0059328
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-1.096405{col 35}{space 2} .5614941{col 46}{space 1}   -1.95{col 55}{space 3}0.051{col 63}{space 4}-2.196914{col 76}{space 3} .0041029
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .2169467{col 35}{space 2} .1195314{col 46}{space 1}    1.81{col 55}{space 3}0.070{col 63}{space 4}-.0173305{col 76}{space 3}  .451224
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 11.51339{col 35}{space 2} 4.812246{col 46}{space 1}    2.39{col 55}{space 3}0.017{col 63}{space 4} 2.081558{col 76}{space 3} 20.94522
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /lnalpha {c |}{col 23}{res}{space 2}  2.44513{col 35}{space 2} .1063705{col 63}{space 4} 2.236647{col 76}{space 3} 2.653612
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                alpha{col 23}{c |}{res}{space 2} 11.53204{col 35}{space 2}  1.22667{col 63}{space 4}  9.36189{col 76}{space 3} 14.20526
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}Simulating main parameters.  Please wait....
% of simulations completed: 9% 18% 27% 36% 45% 54% 63% 72% 81% 90% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11
{txt}
{com}. setx mean
{txt}
{com}. setx osvAllLagDum 0
{txt}
{com}. setx lag_contig_pk_percent 0
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res}  13.7863     5.058568     6.347752    26.14008
{txt}
{com}. setx lag_contig_pk_percent 2
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 10.34532     3.775241     4.806671    19.68679
{txt}
{com}. setx lag_contig_pk_percent 4
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 7.825427     3.036628       3.5541    15.59944
{txt}
{com}. setx lag_contig_pk_percent 6
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 5.967284     2.591245     2.490826    12.39355
{txt}
{com}. setx lag_contig_pk_percent 8
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res}  4.58765     2.294955     1.751998    10.80178
{txt}
{com}. setx lag_contig_pk_percent 10
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 3.556281     2.075898     1.140716    9.408548
{txt}
{com}. setx lag_contig_pk_percent 12
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 2.780034     1.901963     .7564248    7.991663
{txt}
{com}. setx lag_contig_pk_percent 14
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 2.191894     1.759753     .4859007    6.749009
{txt}
{com}. setx lag_contig_pk_percent 16
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 1.743353     1.643776     .3167932    5.823098
{txt}
{com}. setx lag_contig_pk_percent 18
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 1.399082     1.551572      .202971    4.993093
{txt}
{com}. setx lag_contig_pk_percent 20
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} 1.133202     1.481685     .1310288    4.307328
{txt}
{com}. setx lag_contig_pk_percent 22
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} .9266345     1.432896     .0838736    3.768775
{txt}
{com}. setx lag_contig_pk_percent 24
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} .7652384     1.403957     .0535044    3.306104
{txt}
{com}. setx lag_contig_pk_percent 26
{txt}
{com}. simqi

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
                 E(osvAll) |  {res} .6384665     1.393559     .0341606    2.923752
{txt}
{com}. drop b1-b10
{txt}
{com}. 
. 
. 
. *************
. *** Figure 3
. *************
. nbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors, robust
{txt}note: incomp omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-706662.33}  
Iteration 1:{space 3}log pseudolikelihood = {res:-666958.15}  
Iteration 2:{space 3}log pseudolikelihood = {res:-412411.42}  
Iteration 3:{space 3}log pseudolikelihood = {res:-389450.46}  
Iteration 4:{space 3}log pseudolikelihood = {res:-385086.41}  
Iteration 5:{space 3}log pseudolikelihood = {res:-384246.88}  
Iteration 6:{space 3}log pseudolikelihood = {res:-384098.15}  
Iteration 7:{space 3}log pseudolikelihood = {res:-384073.59}  
Iteration 8:{space 3}log pseudolikelihood = {res:-384071.77}  
Iteration 9:{space 3}log pseudolikelihood = {res:-384071.75}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3529.6893}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1319.4024}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1318.5448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1318.5428}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1318.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1318.5428}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1302.5526}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1286.3369}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1275.8896}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-1241.1476}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1233.3649}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1217.3036}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1213.6087}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1213.0949}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1212.8377}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1212.8365}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1212.8365}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       520
{txt}{col 51}Wald chi2({res}11{txt}){col 67}= {res}    110.85
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1212.8365{txt}{col 51}Pseudo R2{col 67}= {res}    0.0802

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.2078655{col 35}{space 2} .0744084{col 46}{space 1}   -2.79{col 55}{space 3}0.005{col 63}{space 4}-.3537032{col 76}{space 3}-.0620278
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2} .2848227{col 35}{space 2} .1300584{col 46}{space 1}    2.19{col 55}{space 3}0.029{col 63}{space 4} .0299129{col 76}{space 3} .5397326
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2}-.0157029{col 35}{space 2} .0062804{col 46}{space 1}   -2.50{col 55}{space 3}0.012{col 63}{space 4}-.0280123{col 76}{space 3}-.0033936
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.6931415{col 35}{space 2} .1849791{col 46}{space 1}   -3.75{col 55}{space 3}0.000{col 63}{space 4}-1.055694{col 76}{space 3}-.3305892
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2}-1.753329{col 35}{space 2} 1.635017{col 46}{space 1}   -1.07{col 55}{space 3}0.284{col 63}{space 4}-4.957903{col 76}{space 3} 1.451245
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 18.37726{col 35}{space 2} 2.987917{col 46}{space 1}    6.15{col 55}{space 3}0.000{col 63}{space 4} 12.52105{col 76}{space 3} 24.23347
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0051841{col 35}{space 2} .0018535{col 46}{space 1}    2.80{col 55}{space 3}0.005{col 63}{space 4} .0015513{col 76}{space 3}  .008817
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .7440024{col 35}{space 2} .5472235{col 46}{space 1}    1.36{col 55}{space 3}0.174{col 63}{space 4}-.3285359{col 76}{space 3} 1.816541
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2}-.0037781{col 35}{space 2} .0053913{col 46}{space 1}   -0.70{col 55}{space 3}0.483{col 63}{space 4}-.0143448{col 76}{space 3} .0067887
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-1.245588{col 35}{space 2} .5455119{col 46}{space 1}   -2.28{col 55}{space 3}0.022{col 63}{space 4}-2.314772{col 76}{space 3} -.176404
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .3020057{col 35}{space 2} .1180838{col 46}{space 1}    2.56{col 55}{space 3}0.011{col 63}{space 4} .0705658{col 76}{space 3} .5334457
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 12.41302{col 35}{space 2} 4.659943{col 46}{space 1}    2.66{col 55}{space 3}0.008{col 63}{space 4} 3.279697{col 76}{space 3} 21.54634
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /lnalpha {c |}{col 23}{res}{space 2} 2.424599{col 35}{space 2} .1036657{col 63}{space 4} 2.221418{col 76}{space 3}  2.62778
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                alpha{col 23}{c |}{res}{space 2}  11.2977{col 35}{space 2} 1.171183{col 63}{space 4} 9.220394{col 76}{space 3}   13.843
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. matrix b=e(b)
{txt}
{com}. matrix V=e(V)
{txt}
{com}. 
. matrix list b
{res}
{txt}b[1,14]
          osvAll:       osvAll:       osvAll:       osvAll:       osvAll:       osvAll:       osvAll:
                                                                                                     
    lag_contig~t  thou_lag_sum  thou_inter~1      troopLag     policeLag  militaryob~g    brv_AllLag
y1 {res}   -.20786553     .28482274    -.01570294    -.69314152    -1.7533291     18.377263     .00518413

{txt}          osvAll:       osvAll:       osvAll:       osvAll:       osvAll:       osvAll:      lnalpha:
                             o.                                                                      
    osvAllLagDum        incomp    epduration        lntpop  num_neighb~s         _cons         _cons
y1 {res}    .74400236             0    -.00377807    -1.2455878     .30200574     12.413018     2.4245987
{reset}
{com}. matrix list V
{res}
{txt}symmetric V[14,14]
                           osvAll:       osvAll:       osvAll:       osvAll:       osvAll:       osvAll:
                                                                                                        
                     lag_contig~t  thou_lag_sum  thou_inter~1      troopLag     policeLag  militaryob~g
osvAll:lag_contig~t {res}     .0055366
{txt}osvAll:thou_lag_sum {res}   -.00552144     .01691519
{txt}osvAll:thou_inter~1 {res}      .000021    -.00064614     .00003944
{txt}    osvAll:troopLag {res}    .00857192    -.02127479     .00076003     .03421726
{txt}   osvAll:policeLag {res}   -.06844048     .16418633    -.00586305    -.24469187       2.67328
{txt}osvAll:militaryob~g {res}   -.10794272     .26299172    -.00923845    -.47328679     2.1952125     8.9276508
{txt}  osvAll:brv_AllLag {res}    -.0000345     .00006066    -1.338e-06    -.00007906     .00070603     .00125867
{txt}osvAll:osvAllLagDum {res}   -.00717946    -.00194123     .00082901     .00580242    -.14441795      .1361508
{txt}    osvAll:o.incomp {res}            0             0             0             0             0             0
{txt}  osvAll:epduration {res}   -.00016856     .00014731    -2.429e-06    -.00028514     .00383639      .0031078
{txt}      osvAll:lntpop {res}    .01211004    -.00153925     -.0007399     .01218068    -.07534651    -.34037136
{txt}osvAll:num_neighb~s {res}   -.00366851     .00087253     .00018042    -.00153858     .01878509    -.00323588
{txt}       osvAll:_cons {res}   -.07952548     -.0073121     .00612481    -.08004116     .30858666     2.6410009
{txt}      lnalpha:_cons {res}   -.00022609     .00223478    -.00013368    -.00587633     .00342871     .13612393

{txt}                           osvAll:       osvAll:       osvAll:       osvAll:       osvAll:       osvAll:
                                                            o.                                          
                       brv_AllLag  osvAllLagDum        incomp    epduration        lntpop  num_neighb~s
  osvAll:brv_AllLag {res}    3.436e-06
{txt}osvAll:osvAllLagDum {res}    .00017045     .29945351
{txt}    osvAll:o.incomp {res}            0             0             0
{txt}  osvAll:epduration {res}    8.789e-07    -.00084714             0     .00002907
{txt}      osvAll:lntpop {res}   -.00013729    -.16760118             0     .00092648     .29758328
{txt}osvAll:num_neighb~s {res}    .00002602     .01895027             0    -.00019855    -.05099546     .01394378
{txt}       osvAll:_cons {res}    .00077366     1.3555093             0    -.00999173    -2.5219408     .42413898
{txt}      lnalpha:_cons {res}   -4.829e-06    -.00736337             0    -.00006875    -.00830339     .00131651

{txt}                           osvAll:      lnalpha:
                                                
                            _cons         _cons
       osvAll:_cons {res}    21.715069
{txt}      lnalpha:_cons {res}    .08366571     .01074657
{reset}
{com}. 
. local k = colsof(b)
{txt}
{com}. foreach c of numlist 1(1)`k' {c -(}
{txt}  2{com}.         local b`c' = b[1,`c']
{txt}  3{com}.         local varb`c' = V[`c',`c']
{txt}  4{com}.         foreach r of numlist 1(1)`k' {c -(}
{txt}  5{com}.                 local covb`r'b`c' = V[`r',`c']
{txt}  6{com}.         {c )-}
{txt}  7{com}. {c )-}
{txt}
{com}. 
. tempname int
{txt}
{com}. postfile `int' Z ME_X SE_X LO_X HI_X X ME_Z SE_Z LO_Z HI_Z using "Marginal Effects.dta", replace
{txt}
{com}. 
. foreach i of numlist 0(1)43 {c -(}
{txt}  2{com}.         local ME_X = `b1' + (`b3' * `i')
{txt}  3{com}.         local SE_X = sqrt(`varb1'+((`i'^2)*`varb3')+(2*`i'*`covb1b3'))
{txt}  4{com}.         local LO_X = `ME_X' - (1.96 * `SE_X')
{txt}  5{com}.         local HI_X = `ME_X' + (1.96 * `SE_X')
{txt}  6{com}. 
.         post `int' (`i') (`ME_X') (`SE_X') (`LO_X') (`HI_X') (.) (.) (.) (.) (.) 
{txt}  7{com}. 
. {c )-}
{txt}
{com}. 
. foreach i of numlist 0(1)26 {c -(}
{txt}  2{com}.         local ME_Z = `b2' + (`b3' * `i')
{txt}  3{com}.         local SE_Z = sqrt(`varb2'+((`i'^2)*`varb3')+(2*`i'*`covb2b3'))
{txt}  4{com}.         local LO_Z = `ME_Z' - (1.96 * `SE_Z')
{txt}  5{com}.         local HI_Z = `ME_Z' + (1.96 * `SE_Z')
{txt}  6{com}.         
.         post `int' (.) (.) (.) (.) (.) (`i') (`ME_Z') (`SE_Z') (`LO_Z') (`HI_Z') 
{txt}  7{com}. {c )-}
{txt}
{com}. postclose `int'
{txt}
{com}. 
. preserve
{txt}
{com}.         use "Marginal Effects.dta", clear
{txt}
{com}.         twoway (line ME_X Z) (line LO_X Z, lpattern(dash)) (line HI_X Z, lpattern(dash)), /*
>         */      xtitle("Fear of Conflict Diffusion", size(small)) ytitle("Marginal Effect of Proximate Peacekeepers on Civilian Deaths", size(small)) yline(0, lpattern(dot)) legend(off) scheme(plotplain)
{res}{txt}
{com}.         graph export interaction.pdf, replace
{txt}(file /Users/edwardgoldring/Dropbox/Country peacekeeper effectiveness/Help is Close at Hand/interaction.pdf written in PDF format)

{com}. restore
{txt}
{com}. 
. 
. *************
. *** Figure 4
. *************
. gen limit = .
{txt}(3972 missing values generated)

{com}. replace limit = 0 if contig_pk_percent < 5
{txt}(444 real changes made)

{com}. replace limit = 5 if contig_pk_percent >= 5 & contig_pk_percent < 10
{txt}(53 real changes made)

{com}. replace limit = 10 if contig_pk_percent >= 10 & contig_pk_percent < 15
{txt}(49 real changes made)

{com}. replace limit = 15 if contig_pk_percent >= 15 & contig_pk_percent < 20
{txt}(48 real changes made)

{com}. replace limit = 20 if contig_pk_percent >= 20 & contig_pk_percent < 25
{txt}(9 real changes made)

{com}. replace limit = 25 if contig_pk_percent >= 25 & contig_pk_percent < 30
{txt}(2 real changes made)

{com}. hist limit, discrete percent start(0) xtitle ("Percentage of peacekeepers from proximate countries") ytitle("Percentage of observations") scheme(plotplain) xscale(range(0 30)) xlabel(0 "0 - <5" 5 "5 - <10" 10 "10 - <15" 15 "15 - <20" 20 "20 - <25" 25 "25 - <30") addlabel addlabopts(yvarformat(%4.2f))
{txt}(start={res}0{txt}, width={res}5{txt})
{res}{txt}
{com}. drop limit
{txt}
{com}. 
. 
. ************
. *** Table 2
. ************
. sum osvAll troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop FracTroop PolTroop Nparticipant num_neighbors lag_contig_pk_percent thou_lag_sum thou_interaction1 lag_african_pk_percent if osvAll != . & troopLag != . & policeLag != . & militaryobserversLag != . & brv_AllLag != . & osvAllLagDum != . & incomp != . & epduration != . & lntpop != . & FracTroop != . & PolTroop != . & Nparticipant != ., detail

                       {txt}Civilian deaths
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}        0                      {txt}Mean          {res} 227.4251
                        {txt}Largest       Std. Dev.     {res} 5336.553
{txt}75%    {res}        4           1343
{txt}90%    {res}       33           4016       {txt}Variance      {res} 2.85e+07
{txt}95%    {res}       96           4250       {txt}Skewness      {res} 27.21673
{txt}99%    {res}      680         145844       {txt}Kurtosis      {res} 743.1233

      {txt}# of troops deployed to mission/1000, 1 month lag
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}     .024                      {txt}Mean          {res} 3.518647
                        {txt}Largest       Std. Dev.     {res} 5.548014
{txt}75%    {res}    5.455         25.747
{txt}90%    {res}   14.337         26.112       {txt}Variance      {res} 30.78046
{txt}95%    {res}    16.62          28.98       {txt}Skewness      {res} 1.789165
{txt}99%    {res}   20.355         29.209       {txt}Kurtosis      {res} 5.660527

      {txt}# of police deployed to mission/1000, 1 month lag
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}        0                      {txt}Mean          {res}  .139734
                        {txt}Largest       Std. Dev.     {res} .2917582
{txt}75%    {res}     .087          1.105
{txt}90%    {res}     .652          1.107       {txt}Variance      {res} .0851228
{txt}95%    {res}    1.029          1.121       {txt}Skewness      {res} 2.325006
{txt}99%    {res}      1.1          1.132       {txt}Kurtosis      {res} 7.181851

     {txt}# of militaryobservers deployed to mission/1000, 1
                          month lag
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}      .05                      {txt}Mean          {res} .1461644
                        {txt}Largest       Std. Dev.     {res} .1967174
{txt}75%    {res}    .2475           .776
{txt}90%    {res}     .433            .78       {txt}Variance      {res} .0386977
{txt}95%    {res}     .605           .786       {txt}Skewness      {res} 1.527055
{txt}99%    {res}     .763          1.039       {txt}Kurtosis      {res} 4.863508

      {txt}Govt+Rebel battle related casualties, 1 month lag
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}        0                      {txt}Mean          {res} 9.066845
                        {txt}Largest       Std. Dev.     {res} 41.37303
{txt}75%    {res}        0            322
{txt}90%    {res}       14            400       {txt}Variance      {res} 1711.728
{txt}95%    {res}       38            415       {txt}Skewness      {res} 7.295772
{txt}99%    {res}      221            510       {txt}Kurtosis      {res} 66.05151

               {txt}Dummy for OSV in previous month
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}        0                      {txt}Mean          {res} .3128342
                        {txt}Largest       Std. Dev.     {res} .4639577
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2152567
{txt}95%    {res}        1              1       {txt}Skewness      {res} .8073624
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 1.651834

          {txt}UCDP/PRIO Incompatibility; 1=Terr, 2=Govt
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}        748
{txt}25%    {res}        1              1       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}        2                      {txt}Mean          {res} 1.624332
                        {txt}Largest       Std. Dev.     {res} .4846191
{txt}75%    {res}        2              2
{txt}90%    {res}        2              2       {txt}Variance      {res} .2348556
{txt}95%    {res}        2              2       {txt}Skewness      {res}-.5134538
{txt}99%    {res}        2              2       {txt}Kurtosis      {res} 1.263635

                {txt}Duration of Conflict Episode
{hline 61}
      Percentiles      Smallest
 1%    {res}        5              2
{txt} 5%    {res}       22              2
{txt}10%    {res}       32              3       {txt}Obs         {res}        748
{txt}25%    {res}       46              3       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}       78                      {txt}Mean          {res} 90.49198
                        {txt}Largest       Std. Dev.     {res} 53.16778
{txt}75%    {res}    131.5            203
{txt}90%    {res}      175            203       {txt}Variance      {res} 2826.813
{txt}95%    {res}      188            204       {txt}Skewness      {res} .4935413
{txt}99%    {res}      201            204       {txt}Kurtosis      {res} 2.112159

               {txt}Natural log of total population
{hline 61}
      Percentiles      Smallest
 1%    {res} 7.901007       7.878534
{txt} 5%    {res} 7.944492       7.878534
{txt}10%    {res} 8.156223       7.878534       {txt}Obs         {res}        748
{txt}25%    {res} 8.930229       7.901007       {txt}Sum of Wgt. {res}        748

{txt}50%    {res} 9.431803                      {txt}Mean          {res} 9.758118
                        {txt}Largest       Std. Dev.     {res} 1.123003
{txt}75%    {res} 11.04327       11.25273
{txt}90%    {res} 11.17136       11.25273       {txt}Variance      {res} 1.261136
{txt}95%    {res} 11.22614       11.25273       {txt}Skewness      {res}-.0142011
{txt}99%    {res} 11.25273       11.25273       {txt}Kurtosis      {res} 1.626854

                      {txt}Fractionalization
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res} .6022345              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res} .7564961                      {txt}Mean          {res} .6310037
                        {txt}Largest       Std. Dev.     {res} .3001364
{txt}75%    {res} .8318751         .90625
{txt}90%    {res} .8625068       .9067237       {txt}Variance      {res} .0900818
{txt}95%    {res} .8834004       .9083566       {txt}Skewness      {res}-1.351732
{txt}99%    {res} .8926381       .9412127       {txt}Kurtosis      {res} 3.261651

                        {txt}Polarization
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        748
{txt}25%    {res} .4377137              0       {txt}Sum of Wgt. {res}        748

{txt}50%    {res} .5507367                      {txt}Mean          {res} .5172225
                        {txt}Largest       Std. Dev.     {res} .2608467
{txt}75%    {res}  .691358       .9841426
{txt}90%    {res} .8248477       .9841426       {txt}Variance      {res}  .068041
{txt}95%    {res} .8847035              1       {txt}Skewness      {res}-.8108104
{txt}99%    {res} .9292013              1       {txt}Kurtosis      {res} 2.927284

                        {txt}\# Countries
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}        748
{txt}25%    {res}        8              1       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}       17                      {txt}Mean          {res} 15.72326
                        {txt}Largest       Std. Dev.     {res} 10.13706
{txt}75%    {res}       23             41
{txt}90%    {res}       28             42       {txt}Variance      {res}   102.76
{txt}95%    {res}       34             42       {txt}Skewness      {res} .2450452
{txt}99%    {res}       39             42       {txt}Kurtosis      {res}  2.49038

         {txt}County of a country's contiguous neighbors
{hline 61}
      Percentiles      Smallest
 1%    {res}        2              2
{txt} 5%    {res}        2              2
{txt}10%    {res}        3              2       {txt}Obs         {res}        748
{txt}25%    {res}        4              2       {txt}Sum of Wgt. {res}        748

{txt}50%    {res}        4                      {txt}Mean          {res} 5.278075
                        {txt}Largest       Std. Dev.     {res} 2.647562
{txt}75%    {res}        6             14
{txt}90%    {res}        9             14       {txt}Variance      {res} 7.009586
{txt}95%    {res}        9             14       {txt}Skewness      {res} 1.637081
{txt}99%    {res}       14             14       {txt}Kurtosis      {res} 6.009494

     {txt}Lag of % of peacekeepers from contiguous countries
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        455
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        455

{txt}50%    {res}        0                      {txt}Mean          {res} 3.815792
                        {txt}Largest       Std. Dev.     {res} 6.229151
{txt}75%    {res} 6.283848       23.91304
{txt}90%    {res} 14.63542       24.65555       {txt}Variance      {res} 38.80232
{txt}95%    {res} 17.11379       25.57823       {txt}Skewness      {res} 1.556384
{txt}99%    {res} 23.69637       26.08229       {txt}Kurtosis      {res} 4.324726

               {txt}Conflict diffusion peacekeepers
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        461
{txt}25%    {res} .0056307              0       {txt}Sum of Wgt. {res}        461

{txt}50%    {res} .5282176                      {txt}Mean          {res} 2.743115
                        {txt}Largest       Std. Dev.     {res} 5.796288
{txt}75%    {res} 2.911005       30.51004
{txt}90%    {res} 7.777245       33.70076       {txt}Variance      {res} 33.59695
{txt}95%    {res} 16.09667       37.84676       {txt}Skewness      {res} 3.572286
{txt}99%    {res} 29.86356       43.92492       {txt}Kurtosis      {res} 17.70324

       {txt}Interaction between proximate peacekeepers and
               conflict diffusion peacekeepers
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        455
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}        455

{txt}50%    {res}        0                      {txt}Mean          {res} 34.05643
                        {txt}Largest       Std. Dev.     {res} 103.4578
{txt}75%    {res} 15.21577       618.1918
{txt}90%    {res} 89.67781       626.6733       {txt}Variance      {res} 10703.51
{txt}95%    {res} 143.6163        737.837       {txt}Skewness      {res} 5.053456
{txt}99%    {res} 609.8756       968.0533       {txt}Kurtosis      {res} 32.90654

       {txt}Lag of % of peacekeepers from african countries
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}        459
{txt}25%    {res} 4.347826              0       {txt}Sum of Wgt. {res}        459

{txt}50%    {res} 26.04198                      {txt}Mean          {res} 27.92355
                        {txt}Largest       Std. Dev.     {res}  23.5385
{txt}75%    {res} 41.03038       95.35433
{txt}90%    {res} 58.31048       96.95513       {txt}Variance      {res} 554.0608
{txt}95%    {res} 77.02835       96.96486       {txt}Skewness      {res} .7463121
{txt}99%    {res} 94.97646       96.96486       {txt}Kurtosis      {res} 3.142758
{txt}
{com}. tab osvAllLagDum, m

  {txt}Dummy for {c |}
     OSV in {c |}
   previous {c |}
      month {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,999       75.50       75.50
{txt}          1 {c |}{res}        924       23.26       98.77
{txt}          . {c |}{res}         49        1.23      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,972      100.00
{txt}
{com}. tab incomp, m

  {txt}UCDP/PRIO {c |}
Incompatibi {c |}
      lity; {c |}
    1=Terr, {c |}
     2=Govt {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,260       31.72       31.72
{txt}          2 {c |}{res}      2,712       68.28      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,972      100.00
{txt}
{com}. 
. 
. *************
. *** Figure 5
. *************
. reg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors
{txt}note: incomp omitted because of collinearity

      Source {c |}       SS       df       MS              Number of obs ={res}     520
{txt}{hline 13}{char +}{hline 30}           F( 11,   508) ={res}    0.60
    {txt}   Model {char |} {res}  274691219    11    24971929           {txt}Prob > F      = {res} 0.8255
    {txt}Residual {char |} {res} 2.0983e+10   508  41304376.9           {txt}R-squared     = {res} 0.0129
{txt}{hline 13}{char +}{hline 30}           Adj R-squared = {res}-0.0085
    {txt}   Total {char |} {res} 2.1257e+10   519  40958217.1           {txt}Root MSE      = {res} 6426.8

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-54.91402{col 35}{space 2} 80.29596{col 46}{space 1}   -0.68{col 55}{space 3}0.494{col 63}{space 4}-212.6671{col 76}{space 3}  102.839
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2} -79.8195{col 35}{space 2} 135.3334{col 46}{space 1}   -0.59{col 55}{space 3}0.556{col 63}{space 4}-345.7016{col 76}{space 3} 186.0626
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2} 4.657536{col 35}{space 2} 7.707105{col 46}{space 1}    0.60{col 55}{space 3}0.546{col 63}{space 4}-10.48419{col 76}{space 3} 19.79926
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-32.12362{col 35}{space 2} 62.91609{col 46}{space 1}   -0.51{col 55}{space 3}0.610{col 63}{space 4}-155.7314{col 76}{space 3} 91.48415
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2} -1160.56{col 35}{space 2} 1169.207{col 46}{space 1}   -0.99{col 55}{space 3}0.321{col 63}{space 4}-3457.636{col 76}{space 3} 1136.516
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 4559.312{col 35}{space 2} 2229.163{col 46}{space 1}    2.05{col 55}{space 3}0.041{col 63}{space 4} 179.7977{col 76}{space 3} 8938.826
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .8474727{col 35}{space 2} 5.544741{col 46}{space 1}    0.15{col 55}{space 3}0.879{col 63}{space 4}-10.04597{col 76}{space 3} 11.74092
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2}-726.7113{col 35}{space 2}  739.862{col 46}{space 1}   -0.98{col 55}{space 3}0.326{col 63}{space 4}-2180.277{col 76}{space 3} 726.8548
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2}-3.654121{col 35}{space 2} 5.790536{col 46}{space 1}   -0.63{col 55}{space 3}0.528{col 63}{space 4}-15.03047{col 76}{space 3} 7.722225
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-642.7273{col 35}{space 2} 524.5281{col 46}{space 1}   -1.23{col 55}{space 3}0.221{col 63}{space 4}-1673.239{col 76}{space 3} 387.7841
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} 83.79091{col 35}{space 2} 188.3919{col 46}{space 1}    0.44{col 55}{space 3}0.657{col 63}{space 4}-286.3323{col 76}{space 3} 453.9142
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 6043.761{col 35}{space 2} 4276.726{col 46}{space 1}    1.41{col 55}{space 3}0.158{col 63}{space 4}-2358.487{col 76}{space 3} 14446.01
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. lvr2plot, scheme(plotplain)
{res}{txt}
{com}. 
. 
. ************
. *** Table 3
. ************
. * Model 6
. xtnbreg osvAll lag_contig_pk_percent troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors, fe i(conflict_id)
{txt}note: 4 groups (78 obs) dropped because of all zero outcomes
note: incomp omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-93153.481}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-8323.7482}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-3737.8523}  
Iteration 3:{space 3}log likelihood = {res:-2959.7343}  (backed up)
Iteration 4:{space 3}log likelihood = {res: -2468.124}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-1945.9144}  
Iteration 6:{space 3}log likelihood = {res:-1516.3244}  
Iteration 7:{space 3}log likelihood = {res:-1158.7457}  
Iteration 8:{space 3}log likelihood = {res:-1048.8363}  
Iteration 9:{space 3}log likelihood = {res:-1044.8996}  
Iteration 10:{space 2}log likelihood = {res:-1044.8336}  
Iteration 11:{space 2}log likelihood = {res:-1044.8335}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 68}={col 70}{res}      442
{txt}Group variable: {res}conflict_id{col 49}{txt}Number of groups{col 68}={col 70}{res}        8

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}       33
{txt}{col 64}avg{col 68}={col 70}{res}     55.2
{txt}{col 64}max{col 68}={col 70}{res}       97

{txt}{col 49}Wald chi2({res}9{txt}){col 68}={col 70}{res}   156.03
{txt}Log likelihood  = {res}-1044.8335{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.0398081{col 35}{space 2} .0206869{col 46}{space 1}   -1.92{col 55}{space 3}0.054{col 63}{space 4}-.0803535{col 76}{space 3} .0007374
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.1437895{col 35}{space 2} .0442827{col 46}{space 1}   -3.25{col 55}{space 3}0.001{col 63}{space 4}-.2305821{col 76}{space 3} -.056997
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2} .9012148{col 35}{space 2} .5494197{col 46}{space 1}    1.64{col 55}{space 3}0.101{col 63}{space 4} -.175628{col 76}{space 3} 1.978058
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 1.802821{col 35}{space 2} .6970968{col 46}{space 1}    2.59{col 55}{space 3}0.010{col 63}{space 4} .4365365{col 76}{space 3} 3.169106
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0032482{col 35}{space 2} .0011547{col 46}{space 1}    2.81{col 55}{space 3}0.005{col 63}{space 4} .0009851{col 76}{space 3} .0055113
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .9717609{col 35}{space 2} .1948492{col 46}{space 1}    4.99{col 55}{space 3}0.000{col 63}{space 4} .5898634{col 76}{space 3} 1.353658
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2} .0042709{col 35}{space 2} .0021748{col 46}{space 1}    1.96{col 55}{space 3}0.050{col 63}{space 4} 8.33e-06{col 76}{space 3} .0085334
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2} .3654786{col 35}{space 2} .1736827{col 46}{space 1}    2.10{col 55}{space 3}0.035{col 63}{space 4} .0250668{col 76}{space 3} .7058904
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .0674835{col 35}{space 2} .0582631{col 46}{space 1}    1.16{col 55}{space 3}0.247{col 63}{space 4}-.0467101{col 76}{space 3} .1816771
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-7.040326{col 35}{space 2} 1.456047{col 46}{space 1}   -4.84{col 55}{space 3}0.000{col 63}{space 4}-9.894125{col 76}{space 3}-4.186526
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 7
. xtnbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors, fe i(conflict_id)
{txt}note: 4 groups (78 obs) dropped because of all zero outcomes
note: incomp omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-121537.97}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-13064.861}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-7164.8247}  
Iteration 3:{space 3}log likelihood = {res:-4436.4228}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-4373.9147}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-2059.2697}  
Iteration 6:{space 3}log likelihood = {res:-1554.9179}  
Iteration 7:{space 3}log likelihood = {res:-1162.6048}  
Iteration 8:{space 3}log likelihood = {res:-1047.2846}  
Iteration 9:{space 3}log likelihood = {res:-1043.6879}  
Iteration 10:{space 2}log likelihood = {res:-1043.5539}  
Iteration 11:{space 2}log likelihood = {res:-1043.5531}  
Iteration 12:{space 2}log likelihood = {res:-1043.5531}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 68}={col 70}{res}      442
{txt}Group variable: {res}conflict_id{col 49}{txt}Number of groups{col 68}={col 70}{res}        8

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}       33
{txt}{col 64}avg{col 68}={col 70}{res}     55.2
{txt}{col 64}max{col 68}={col 70}{res}       97

{txt}{col 49}Wald chi2({res}11{txt}){col 68}={col 70}{res}   153.95
{txt}Log likelihood  = {res}-1043.5531{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.0042829{col 35}{space 2} .0322075{col 46}{space 1}   -0.13{col 55}{space 3}0.894{col 63}{space 4}-.0674085{col 76}{space 3} .0588427
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2} .0288486{col 35}{space 2} .0686927{col 46}{space 1}    0.42{col 55}{space 3}0.675{col 63}{space 4}-.1057867{col 76}{space 3} .1634838
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2}-.0052244{col 35}{space 2} .0049072{col 46}{space 1}   -1.06{col 55}{space 3}0.287{col 63}{space 4}-.0148424{col 76}{space 3} .0043936
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.1495407{col 35}{space 2} .0462476{col 46}{space 1}   -3.23{col 55}{space 3}0.001{col 63}{space 4}-.2401844{col 76}{space 3}-.0588971
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2} .8815239{col 35}{space 2} .5648646{col 46}{space 1}    1.56{col 55}{space 3}0.119{col 63}{space 4}-.2255903{col 76}{space 3} 1.988638
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 1.972745{col 35}{space 2} .7444064{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4}  .513735{col 76}{space 3} 3.431754
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0030546{col 35}{space 2} .0011708{col 46}{space 1}    2.61{col 55}{space 3}0.009{col 63}{space 4} .0007598{col 76}{space 3} .0053493
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .9397613{col 35}{space 2} .1938672{col 46}{space 1}    4.85{col 55}{space 3}0.000{col 63}{space 4} .5597885{col 76}{space 3} 1.319734
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2} .0039731{col 35}{space 2} .0021943{col 46}{space 1}    1.81{col 55}{space 3}0.070{col 63}{space 4}-.0003277{col 76}{space 3} .0082739
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2} .4432932{col 35}{space 2} .1813988{col 46}{space 1}    2.44{col 55}{space 3}0.015{col 63}{space 4}  .087758{col 76}{space 3} .7988284
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .0345763{col 35}{space 2} .0619859{col 46}{space 1}    0.56{col 55}{space 3}0.577{col 63}{space 4}-.0869139{col 76}{space 3} .1560664
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} -7.59384{col 35}{space 2} 1.509808{col 46}{space 1}   -5.03{col 55}{space 3}0.000{col 63}{space 4}-10.55301{col 76}{space 3} -4.63467
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 8
. xtnbreg osvAll lag_contig_pk_percent troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors FracTroop PolTroop Nparticipant, fe i(conflict_id)
{txt}note: 3 groups (67 obs) dropped because of all zero outcomes
note: incomp omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-39268.643}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-6244.5548}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-4985.4555}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-3864.8554}  
Iteration 4:{space 3}log likelihood = {res:-2385.5589}  
Iteration 5:{space 3}log likelihood = {res:  -1151.96}  
Iteration 6:{space 3}log likelihood = {res:-938.79598}  
Iteration 7:{space 3}log likelihood = {res:-911.15115}  
Iteration 8:{space 3}log likelihood = {res:-909.32282}  
Iteration 9:{space 3}log likelihood = {res:-909.32014}  
Iteration 10:{space 2}log likelihood = {res:-909.32014}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 68}={col 70}{res}      388
{txt}Group variable: {res}conflict_id{col 49}{txt}Number of groups{col 68}={col 70}{res}        8

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}       28
{txt}{col 64}avg{col 68}={col 70}{res}     48.5
{txt}{col 64}max{col 68}={col 70}{res}       86

{txt}{col 49}Wald chi2({res}12{txt}){col 68}={col 70}{res}   142.42
{txt}Log likelihood  = {res}-909.32014{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.0507424{col 35}{space 2}  .024841{col 46}{space 1}   -2.04{col 55}{space 3}0.041{col 63}{space 4}-.0994299{col 76}{space 3} -.002055
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.1167286{col 35}{space 2} .0545804{col 46}{space 1}   -2.14{col 55}{space 3}0.032{col 63}{space 4}-.2237042{col 76}{space 3} -.009753
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2} .5900721{col 35}{space 2}  .649819{col 46}{space 1}    0.91{col 55}{space 3}0.364{col 63}{space 4}-.6835497{col 76}{space 3} 1.863694
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 2.281563{col 35}{space 2} .7739193{col 46}{space 1}    2.95{col 55}{space 3}0.003{col 63}{space 4}  .764709{col 76}{space 3} 3.798417
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0033988{col 35}{space 2} .0012522{col 46}{space 1}    2.71{col 55}{space 3}0.007{col 63}{space 4} .0009445{col 76}{space 3} .0058531
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .8384616{col 35}{space 2} .2050084{col 46}{space 1}    4.09{col 55}{space 3}0.000{col 63}{space 4} .4366525{col 76}{space 3} 1.240271
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2} .0085176{col 35}{space 2} .0027658{col 46}{space 1}    3.08{col 55}{space 3}0.002{col 63}{space 4} .0030967{col 76}{space 3} .0139385
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2} .5957642{col 35}{space 2} .2085438{col 46}{space 1}    2.86{col 55}{space 3}0.004{col 63}{space 4} .1870259{col 76}{space 3} 1.004502
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .0567777{col 35}{space 2} .0651643{col 46}{space 1}    0.87{col 55}{space 3}0.384{col 63}{space 4}-.0709419{col 76}{space 3} .1844974
{txt}{space 12}FracTroop {c |}{col 23}{res}{space 2}-.8720397{col 35}{space 2} .7174092{col 46}{space 1}   -1.22{col 55}{space 3}0.224{col 63}{space 4}-2.278136{col 76}{space 3} .5340565
{txt}{space 13}PolTroop {c |}{col 23}{res}{space 2}-.1408299{col 35}{space 2}  .644968{col 46}{space 1}   -0.22{col 55}{space 3}0.827{col 63}{space 4}-1.404944{col 76}{space 3} 1.123284
{txt}{space 9}Nparticipant {c |}{col 23}{res}{space 2}-.0125219{col 35}{space 2}  .013353{col 46}{space 1}   -0.94{col 55}{space 3}0.348{col 63}{space 4}-.0386932{col 76}{space 3} .0136494
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-8.832529{col 35}{space 2} 1.725969{col 46}{space 1}   -5.12{col 55}{space 3}0.000{col 63}{space 4}-12.21537{col 76}{space 3}-5.449693
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * Model 9
. xtnbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors FracTroop PolTroop Nparticipant, fe i(conflict_id)
{txt}note: 3 groups (67 obs) dropped because of all zero outcomes
note: incomp omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-67447.603}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -3370.166}  
Iteration 2:{space 3}log likelihood = {res:-2851.4681}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-2190.1708}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-1486.4969}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-1201.2439}  
Iteration 6:{space 3}log likelihood = {res:-1033.3264}  
Iteration 7:{space 3}log likelihood = {res:-927.93731}  
Iteration 8:{space 3}log likelihood = {res:-914.51599}  
Iteration 9:{space 3}log likelihood = {res:-909.78604}  
Iteration 10:{space 2}log likelihood = {res: -908.6285}  
Iteration 11:{space 2}log likelihood = {res: -908.5208}  
Iteration 12:{space 2}log likelihood = {res:-908.52015}  
Iteration 13:{space 2}log likelihood = {res:-908.52015}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 68}={col 70}{res}      388
{txt}Group variable: {res}conflict_id{col 49}{txt}Number of groups{col 68}={col 70}{res}        8

{txt}{col 49}Obs per group: min{col 68}={col 70}{res}       28
{txt}{col 64}avg{col 68}={col 70}{res}     48.5
{txt}{col 64}max{col 68}={col 70}{res}       86

{txt}{col 49}Wald chi2({res}14{txt}){col 68}={col 70}{res}   142.17
{txt}Log likelihood  = {res}-908.52015{col 49}{txt}Prob > chi2{col 68}={res}{col 73}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.0246073{col 35}{space 2} .0363846{col 46}{space 1}   -0.68{col 55}{space 3}0.499{col 63}{space 4}-.0959198{col 76}{space 3} .0467053
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2} .0492849{col 35}{space 2} .0711494{col 46}{space 1}    0.69{col 55}{space 3}0.488{col 63}{space 4}-.0901652{col 76}{space 3} .1887351
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2}-.0056155{col 35}{space 2} .0053631{col 46}{space 1}   -1.05{col 55}{space 3}0.295{col 63}{space 4} -.016127{col 76}{space 3}  .004896
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.1333743{col 35}{space 2} .0562964{col 46}{space 1}   -2.37{col 55}{space 3}0.018{col 63}{space 4}-.2437133{col 76}{space 3}-.0230353
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2} .6702385{col 35}{space 2} .6726493{col 46}{space 1}    1.00{col 55}{space 3}0.319{col 63}{space 4}-.6481298{col 76}{space 3} 1.988607
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 2.552014{col 35}{space 2} .8389977{col 46}{space 1}    3.04{col 55}{space 3}0.002{col 63}{space 4} .9076086{col 76}{space 3} 4.196419
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2}  .003341{col 35}{space 2} .0012586{col 46}{space 1}    2.65{col 55}{space 3}0.008{col 63}{space 4} .0008742{col 76}{space 3} .0058077
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .8268855{col 35}{space 2} .2040623{col 46}{space 1}    4.05{col 55}{space 3}0.000{col 63}{space 4} .4269308{col 76}{space 3}  1.22684
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2}  .008497{col 35}{space 2} .0027931{col 46}{space 1}    3.04{col 55}{space 3}0.002{col 63}{space 4} .0030226{col 76}{space 3} .0139714
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2} .6555938{col 35}{space 2} .2153499{col 46}{space 1}    3.04{col 55}{space 3}0.002{col 63}{space 4} .2335157{col 76}{space 3} 1.077672
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .0261129{col 35}{space 2} .0700749{col 46}{space 1}    0.37{col 55}{space 3}0.709{col 63}{space 4}-.1112314{col 76}{space 3} .1634573
{txt}{space 12}FracTroop {c |}{col 23}{res}{space 2}-.7248907{col 35}{space 2} .7296595{col 46}{space 1}   -0.99{col 55}{space 3}0.320{col 63}{space 4}-2.154997{col 76}{space 3} .7052156
{txt}{space 13}PolTroop {c |}{col 23}{res}{space 2}-.2167729{col 35}{space 2} .6493298{col 46}{space 1}   -0.33{col 55}{space 3}0.738{col 63}{space 4}-1.489436{col 76}{space 3}  1.05589
{txt}{space 9}Nparticipant {c |}{col 23}{res}{space 2}-.0139037{col 35}{space 2} .0137765{col 46}{space 1}   -1.01{col 55}{space 3}0.313{col 63}{space 4}-.0409051{col 76}{space 3} .0130977
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-9.301526{col 35}{space 2} 1.781063{col 46}{space 1}   -5.22{col 55}{space 3}0.000{col 63}{space 4}-12.79234{col 76}{space 3}-5.810707
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. ************
. *** Table 4
. ************
. * Model 10
. nbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 lag_african_pk_percent troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors, robust
{txt}note: incomp omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-693688.57}  
Iteration 1:{space 3}log pseudolikelihood = {res:-475536.94}  
Iteration 2:{space 3}log pseudolikelihood = {res: -409298.4}  
Iteration 3:{space 3}log pseudolikelihood = {res:-334521.46}  
Iteration 4:{space 3}log pseudolikelihood = {res:-314988.37}  
Iteration 5:{space 3}log pseudolikelihood = {res:-312636.37}  
Iteration 6:{space 3}log pseudolikelihood = {res:-312204.52}  
Iteration 7:{space 3}log pseudolikelihood = {res:-312087.89}  
Iteration 8:{space 3}log pseudolikelihood = {res:-312031.68}  
Iteration 9:{space 3}log pseudolikelihood = {res:-311961.49}  
Iteration 10:{space 2}log pseudolikelihood = {res:-311960.75}  
Iteration 11:{space 2}log pseudolikelihood = {res:-311960.75}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3529.6893}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1319.4024}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1318.5448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1318.5428}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1318.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1318.5428}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1301.9791}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1285.2017}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-1272.5429}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1238.1601}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1213.8671}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1207.0501}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1206.8022}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1206.8008}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1206.8008}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       520
{txt}{col 51}Wald chi2({res}12{txt}){col 67}= {res}    122.74
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1206.8008{txt}{col 51}Pseudo R2{col 67}= {res}    0.0847

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                osvAll{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}lag_contig_pk_percent {c |}{col 24}{res}{space 2}-.2897976{col 36}{space 2} .0638503{col 47}{space 1}   -4.54{col 56}{space 3}0.000{col 64}{space 4}-.4149419{col 77}{space 3}-.1646533
{txt}{space 10}thou_lag_sum {c |}{col 24}{res}{space 2} .4390347{col 36}{space 2} .1292934{col 47}{space 1}    3.40{col 56}{space 3}0.001{col 64}{space 4} .1856244{col 77}{space 3} .6924451
{txt}{space 5}thou_interaction1 {c |}{col 24}{res}{space 2}-.0219063{col 36}{space 2} .0071187{col 47}{space 1}   -3.08{col 56}{space 3}0.002{col 64}{space 4}-.0358588{col 77}{space 3}-.0079539
{txt}lag_african_pk_percent {c |}{col 24}{res}{space 2} .0396487{col 36}{space 2}  .013748{col 47}{space 1}    2.88{col 56}{space 3}0.004{col 64}{space 4} .0127032{col 77}{space 3} .0665942
{txt}{space 14}troopLag {c |}{col 24}{res}{space 2}-.8947616{col 36}{space 2} .1771855{col 47}{space 1}   -5.05{col 56}{space 3}0.000{col 64}{space 4}-1.242039{col 77}{space 3}-.5474843
{txt}{space 13}policeLag {c |}{col 24}{res}{space 2} 1.062016{col 36}{space 2} 1.464987{col 47}{space 1}    0.72{col 56}{space 3}0.468{col 64}{space 4}-1.809304{col 77}{space 3} 3.933337
{txt}{space 2}militaryobserversLag {c |}{col 24}{res}{space 2} 17.92029{col 36}{space 2} 2.811707{col 47}{space 1}    6.37{col 56}{space 3}0.000{col 64}{space 4} 12.40945{col 77}{space 3} 23.43114
{txt}{space 12}brv_AllLag {c |}{col 24}{res}{space 2} .0076014{col 36}{space 2}  .001974{col 47}{space 1}    3.85{col 56}{space 3}0.000{col 64}{space 4} .0037324{col 77}{space 3} .0114704
{txt}{space 10}osvAllLagDum {c |}{col 24}{res}{space 2} 1.057968{col 36}{space 2} .4850792{col 47}{space 1}    2.18{col 56}{space 3}0.029{col 64}{space 4} .1072308{col 77}{space 3} 2.008706
{txt}{space 16}incomp {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}epduration {c |}{col 24}{res}{space 2}  -.00645{col 36}{space 2} .0047576{col 47}{space 1}   -1.36{col 56}{space 3}0.175{col 64}{space 4}-.0157747{col 77}{space 3} .0028747
{txt}{space 16}lntpop {c |}{col 24}{res}{space 2} -.676711{col 36}{space 2} .5148896{col 47}{space 1}   -1.31{col 56}{space 3}0.189{col 64}{space 4}-1.685876{col 77}{space 3} .3324541
{txt}{space 9}num_neighbors {c |}{col 24}{res}{space 2} .3154267{col 36}{space 2}   .10572{col 47}{space 1}    2.98{col 56}{space 3}0.003{col 64}{space 4} .1082192{col 77}{space 3} .5226342
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}  6.31923{col 36}{space 2} 4.609481{col 47}{space 1}    1.37{col 56}{space 3}0.170{col 64}{space 4}-2.715188{col 77}{space 3} 15.35365
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              /lnalpha {c |}{col 24}{res}{space 2} 2.385172{col 36}{space 2} .1043937{col 64}{space 4} 2.180564{col 77}{space 3}  2.58978
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 alpha{col 24}{c |}{res}{space 2} 10.86093{col 36}{space 2} 1.133813{col 64}{space 4} 8.851301{col 77}{space 3} 13.32684
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. ************
. *** Table 5
. ************
. btscs osvAll time conflict_id, g(duration_months)
{txt}
{com}. gen duration_months2=duration_months^2
{txt}
{com}. gen duration_months3=duration_months^3
{txt}
{com}. nbreg osvAll lag_contig_pk_percent thou_lag_sum thou_interaction1 troopLag policeLag militaryobserversLag brv_AllLag osvAllLagDum incomp epduration lntpop num_neighbors duration_months duration_months2 duration_months3, robust
{txt}note: incomp omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -632440.6}  
Iteration 1:{space 3}log pseudolikelihood = {res:-489824.76}  
Iteration 2:{space 3}log pseudolikelihood = {res:-334798.29}  
Iteration 3:{space 3}log pseudolikelihood = {res: -204297.9}  
Iteration 4:{space 3}log pseudolikelihood = {res: -191907.5}  
Iteration 5:{space 3}log pseudolikelihood = {res:-188071.83}  
Iteration 6:{space 3}log pseudolikelihood = {res: -187089.6}  
Iteration 7:{space 3}log pseudolikelihood = {res:-179299.64}  
Iteration 8:{space 3}log pseudolikelihood = {res:-176914.51}  
Iteration 9:{space 3}log pseudolikelihood = {res:-176624.04}  
Iteration 10:{space 2}log pseudolikelihood = {res:-176620.07}  
Iteration 11:{space 2}log pseudolikelihood = {res:-176620.07}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3529.6893}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1319.4024}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1318.5448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1318.5428}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1318.5428}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1318.5428}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-1282.3555}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-1261.2649}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1232.473}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1210.9608}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1206.6315}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1206.4714}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1206.4704}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1206.4704}  
{res}
{txt}Negative binomial regression{col 51}Number of obs{col 67}= {res}       520
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}    360.99
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1206.4704{txt}{col 51}Pseudo R2{col 67}= {res}    0.0850

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}               osvAll{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_contig_pk_percent {c |}{col 23}{res}{space 2}-.1898719{col 35}{space 2} .0633674{col 46}{space 1}   -3.00{col 55}{space 3}0.003{col 63}{space 4}-.3140698{col 76}{space 3} -.065674
{txt}{space 9}thou_lag_sum {c |}{col 23}{res}{space 2}  .261525{col 35}{space 2} .0967363{col 46}{space 1}    2.70{col 55}{space 3}0.007{col 63}{space 4} .0719253{col 76}{space 3} .4511246
{txt}{space 4}thou_interaction1 {c |}{col 23}{res}{space 2}-.0178418{col 35}{space 2} .0065138{col 46}{space 1}   -2.74{col 55}{space 3}0.006{col 63}{space 4}-.0306087{col 76}{space 3} -.005075
{txt}{space 13}troopLag {c |}{col 23}{res}{space 2}-.5726619{col 35}{space 2} .0901445{col 46}{space 1}   -6.35{col 55}{space 3}0.000{col 63}{space 4}-.7493418{col 76}{space 3} -.395982
{txt}{space 12}policeLag {c |}{col 23}{res}{space 2}-1.039793{col 35}{space 2} 1.301626{col 46}{space 1}   -0.80{col 55}{space 3}0.424{col 63}{space 4}-3.590934{col 76}{space 3} 1.511347
{txt}{space 1}militaryobserversLag {c |}{col 23}{res}{space 2} 14.41955{col 35}{space 2} 1.836202{col 46}{space 1}    7.85{col 55}{space 3}0.000{col 63}{space 4} 10.82066{col 76}{space 3} 18.01844
{txt}{space 11}brv_AllLag {c |}{col 23}{res}{space 2} .0040749{col 35}{space 2} .0017564{col 46}{space 1}    2.32{col 55}{space 3}0.020{col 63}{space 4} .0006325{col 76}{space 3} .0075173
{txt}{space 9}osvAllLagDum {c |}{col 23}{res}{space 2} .7410834{col 35}{space 2} .5245427{col 46}{space 1}    1.41{col 55}{space 3}0.158{col 63}{space 4}-.2870015{col 76}{space 3} 1.769168
{txt}{space 15}incomp {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 11}epduration {c |}{col 23}{res}{space 2}-.0059213{col 35}{space 2} .0058264{col 46}{space 1}   -1.02{col 55}{space 3}0.309{col 63}{space 4}-.0173409{col 76}{space 3} .0054984
{txt}{space 15}lntpop {c |}{col 23}{res}{space 2}-1.601474{col 35}{space 2} .6247128{col 46}{space 1}   -2.56{col 55}{space 3}0.010{col 63}{space 4}-2.825889{col 76}{space 3}-.3770599
{txt}{space 8}num_neighbors {c |}{col 23}{res}{space 2} .4154746{col 35}{space 2} .1345401{col 46}{space 1}    3.09{col 55}{space 3}0.002{col 63}{space 4} .1517809{col 76}{space 3} .6791683
{txt}{space 6}duration_months {c |}{col 23}{res}{space 2}-.0030141{col 35}{space 2} .0384134{col 46}{space 1}   -0.08{col 55}{space 3}0.937{col 63}{space 4}-.0783029{col 76}{space 3} .0722747
{txt}{space 5}duration_months2 {c |}{col 23}{res}{space 2} .0001904{col 35}{space 2} .0003611{col 46}{space 1}    0.53{col 55}{space 3}0.598{col 63}{space 4}-.0005173{col 76}{space 3} .0008981
{txt}{space 5}duration_months3 {c |}{col 23}{res}{space 2}-8.59e-07{col 35}{space 2} 8.05e-07{col 46}{space 1}   -1.07{col 55}{space 3}0.286{col 63}{space 4}-2.44e-06{col 76}{space 3} 7.19e-07
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 15.59196{col 35}{space 2} 5.636812{col 46}{space 1}    2.77{col 55}{space 3}0.006{col 63}{space 4} 4.544017{col 76}{space 3} 26.63991
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /lnalpha {c |}{col 23}{res}{space 2} 2.386658{col 35}{space 2} .1012455{col 63}{space 4}  2.18822{col 76}{space 3} 2.585095
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                alpha{col 23}{c |}{res}{space 2} 10.87708{col 35}{space 2} 1.101255{col 63}{space 4} 8.919325{col 76}{space 3} 13.26455
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/edwardgoldring/Dropbox/Country peacekeeper effectiveness/Help is Close at Hand/help_is_close.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}19 Aug 2018, 15:13:44
{txt}{.-}
{smcl}
{txt}{sf}{ul off}